<span style="mso-fareast-font-family: SimSun;">How AI is Shaping the Future of Carbon Accounting in ESG Reporting

As the demand for robust Environmental, Social, and Governance (ESG) reporting continues to grow, the need for accurate and efficient carbon accounting has become more critical than ever. Traditional methods of carbon accounting face challenges related to data accuracy, scalability, and real-time reporting. This article examines how Artificial Intelligence (AI) is reshaping the future of carbon accounting within ESG frameworks. By leveraging AI technologies such as machine learning, data analytics, and automation, organizations can enhance the accuracy of emissions tracking, streamline reporting processes, and ensure better compliance with evolving global sustainability standards. The paper explores the various AI-driven tools that are transforming carbon accounting practices, including predictive analytics for emissions forecasting, real-time monitoring systems, and automated data collection mechanisms. Additionally, it discusses the implications of AI adoption for businesses, policymakers, and ESG stakeholders, as well as the potential challenges and barriers to AI integration. Ultimately, the article highlights AI&rsquo;s role in future-proofing carbon accounting, enabling organizations to meet sustainability goals more effectively and transparently while contributing to the broader global efforts to combat climate change.